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Original Article
Study on Entomological Surveillance and its Significance during a Dengue Outbreak in the District of Tirunelveli in Tamil Nadu, India
Parasuraman Basker, Pichai Kannan, Rajagopal Thirugnanasambandam Porkaipandian, Sivsankaran Saravanan, Subramaniam Sridharan, Mahaligam Kadhiresan
Osong Public Health Res Perspect. 2013;4(3):152-158.   Published online June 30, 2013
DOI: https://doi.org/10.1016/j.phrp.2013.04.005
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  • 5 Crossref
AbstractAbstract PDF
Objectives
To study the significance of entomological surveillance, the house index (HI), container index (CI), and Breteau index (BI) were determined to estimate the degree of a major dengue outbreak in Tirunelveli, Tamil Nadu, India (Latitude: 8°42′N; Longitude: 77°42′E) in May 2012.
Methods
The HI, CI, and BI were determined in a primary health center (PHC) in the village of Maruthamputhur (Pappakudi taluk, Tirunelveli) by carrying out an antilarval (AL) work that involved door-to-door search for immature stages of Aedes spp. mosquitoes by trained field workers and volunteers. The work of field workers was evaluated by a junior and senior entomologist the following day.
Results
Before the AL work, the reported numbers of fever cases from Week 1 to 5 in Maruthamputhur were 211, 394, 244, 222, and 144 with two deaths. By contrast, after the AL work, these numbers were considerably reduced and there was no fever-related death (the HI was reduced from 48.2% to 1.6%, the CI from 28.6% to 0.4%, and the BI from 48.2 to 1.6).
Conclusion
Because no specific medicine and vaccines are available to treat dengue fever and dengue hemorrhagic fever, entomological surveillance and its significance can be used to halt the outbreak of dengue as shown in this study.

Citations

Citations to this article as recorded by  
  • Morphological and molecular characterization of Aedes aegypti variant collected from Tamil Nadu, India
    PNirmal Kumar, M Kalimuthu, MSenthil Kumar, R Govindrajan, A Venkatesh, R Paramasivan, Ashwani Kumar, Bhavna Gupta
    Journal of Vector Borne Diseases.2022; 59(1): 22.     CrossRef
  • Larval survey and spatial epidemiological analysis of vector Aedes aegypti to study the risk of dengue outbreak in India
    A. Sajeli Begum, Swati Alok, Samrun Nessa
    GeoJournal.2021; 86(1): 81.     CrossRef
  • Estimating the annual dengue force of infection from the age of reporting primary infections across urban centres in endemic countries
    Joseph R. Biggs, Ava Kristy Sy, Katharine Sherratt, Oliver J. Brady, Adam J. Kucharski, Sebastian Funk, Mary Anne Joy Reyes, Mary Ann Quinones, William Jones-Warner, Ferchito L. Avelino, Nemia L. Sucaldito, Amado O. Tandoc, Eva Cutiongco-de la Paz, Maria
    BMC Medicine.2021;[Epub]     CrossRef
  • Comparison of INAR(1)-Poisson model and Markov prediction model in forecasting the number of DHF patients in west java Indonesia
    Atina Ahdika, Novyan Lusiyana
    Journal of Physics: Conference Series.2017; 814: 012002.     CrossRef
  • Identification of Aedes albopictus larval index thresholds in the transmission of dengue in Guangzhou, China
    Lei Luo, Xiaoning Li, Xincai Xiao, Ya Xu, Miaoling Huang, Zhicong Yang
    Journal of Vector Ecology.2015; 40(2): 240.     CrossRef

PHRP : Osong Public Health and Research Perspectives